Some Interesting Features of Semantic Model in Robotic Science

Публікація:
Some Interesting Features of Semantic Model in Robotic Science

dc.contributor.author	Baker, Jalal Hasan
dc.contributor.author	Lyashenko, V.
dc.contributor.author	Sotnik, S.
dc.contributor.author	Laariedh, Farah
dc.contributor.author	Mustafa, Syed Khalid
dc.contributor.author	Ahmad, M. Ayaz
dc.date.accessioned	2021-07-14T18:56:47Z
dc.date.available	2021-07-14T18:56:47Z
dc.date.issued	2021
dc.description.abstract	The present work attempts to overview semantic networks' classification and their valuable features. It is very much liable for solving knowledge management problems. The fundamental characteristics of semantic models (SM) have been discussed in a new fashion. Finally, the new technique for the construction of the robot's workspace is also explained very well due to the semantic model. It has been explained in a simple way by an algorithm and then formalized by mathematical models. The proposed work was found within a good agreement with others.	uk_UA
dc.identifier.citation	Baker J. H., Lyashenko V., Sotnik S., Laariedh F., Mustafa S. Kh., Ahmad M. A. Some Interesting Features of Semantic Model in Robotic Science // International Journal of Engineering Trends and Technology. – 2021. – Vol. 69(7). – P. 38-44.	uk_UA
dc.identifier.issn	2231-5381
dc.identifier.uri	https://openarchive.nure.ua/handle/document/17014
dc.language.iso	en	uk_UA
dc.publisher	Seventh Sense Research Group	uk_UA
dc.subject	Robotics	uk_UA
dc.subject	Models	uk_UA
dc.title	Some Interesting Features of Semantic Model in Robotic Science	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication